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Impact of SGLT2 inhibitors on patient outcomes: a network meta-analysis
BACKGROUND: A comprehensive network meta-analysis comparing the effects of individual sodium-glucose cotransporter 2 (SGLT2) inhibitors on patients with and without comorbidities including diabetes mellitus (DM), heart failure (HF), and chronic kidney disease (CKD) has not been previously conducted....
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612254/ https://www.ncbi.nlm.nih.gov/pubmed/37891550 http://dx.doi.org/10.1186/s12933-023-02035-8 |
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author | Chen, Jui-Yi Pan, Heng-Chih Shiao, Chih-Chung Chuang, Min-Hsiang See, Chun Yin Yeh, Tzu-Hsuan Yang, Yafei Chu, Wen-Kai Wu, Vin-Cent |
author_facet | Chen, Jui-Yi Pan, Heng-Chih Shiao, Chih-Chung Chuang, Min-Hsiang See, Chun Yin Yeh, Tzu-Hsuan Yang, Yafei Chu, Wen-Kai Wu, Vin-Cent |
author_sort | Chen, Jui-Yi |
collection | PubMed |
description | BACKGROUND: A comprehensive network meta-analysis comparing the effects of individual sodium-glucose cotransporter 2 (SGLT2) inhibitors on patients with and without comorbidities including diabetes mellitus (DM), heart failure (HF), and chronic kidney disease (CKD) has not been previously conducted. METHODS: We searched PubMed, Embase, Cochrane, and ClinicalTrials.gov for randomized controlled trials up to March 28, 2023. Network meta-analysis using a random-effects model was conducted to calculate risk ratios (RRs). Risk of Bias tool 2.0 was used to assess bias, and CINeMA to assess the certainty of evidence. In the subgroup analysis, the SGLT2 inhibitors were classified into highly (dapagliflozin, empagliflozin, and ertugliflozin) and less selective SGLT2 inhibitors (canagliflozin and sotagliflozin). RESULTS: A total of fourteen trials with 75,334 patients were analyzed. Among these, 40,956 had taken SGLT2 inhibitors and 34,378 had not. One of the main results with particular findings was empagliflozin users had a significantly lower risk of all-cause death compared to dapagliflozin users in DM population (RR: 0.81, 95% CI 0.69–0.96). In HF population, sotagliflozin users had a borderline significantly lower risk of CV death or hospitalization for HF (HHF) than dapagliflozin users (RR: 0.90, 95% CI 0.80–1.01). In non-HF population, those who used canagliflozin had a significantly lower risk of CV death or HHF compared with those who used dapagliflozin (RR: 0.75, 95% CI 0.58–0.98). At last, for HF patients, those who used less selective SGLT2 inhibitors had a significantly lower risk of MACEs compared to those who used highly selective SGLT2 inhibitors (RR: 0.75, 95% CI 0.62–0.90). CONCLUSIONS: Our network meta-analysis revealed that empagliflozin users with diabetes experienced a lower risk of dying from any cause than those using dapagliflozin. Additionally, canagliflozin users demonstrated a reduced risk of cardiovascular death or HHF compared to dapagliflozin users in those without HF. In HF patients, less selective SGLT2 inhibitors showed superior CV composite outcomes, even surpassing the performance of highly selective SGLT2 inhibitors. Trial registration: PROSPERO [CRD42022361906]. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-02035-8. |
format | Online Article Text |
id | pubmed-10612254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106122542023-10-29 Impact of SGLT2 inhibitors on patient outcomes: a network meta-analysis Chen, Jui-Yi Pan, Heng-Chih Shiao, Chih-Chung Chuang, Min-Hsiang See, Chun Yin Yeh, Tzu-Hsuan Yang, Yafei Chu, Wen-Kai Wu, Vin-Cent Cardiovasc Diabetol Research BACKGROUND: A comprehensive network meta-analysis comparing the effects of individual sodium-glucose cotransporter 2 (SGLT2) inhibitors on patients with and without comorbidities including diabetes mellitus (DM), heart failure (HF), and chronic kidney disease (CKD) has not been previously conducted. METHODS: We searched PubMed, Embase, Cochrane, and ClinicalTrials.gov for randomized controlled trials up to March 28, 2023. Network meta-analysis using a random-effects model was conducted to calculate risk ratios (RRs). Risk of Bias tool 2.0 was used to assess bias, and CINeMA to assess the certainty of evidence. In the subgroup analysis, the SGLT2 inhibitors were classified into highly (dapagliflozin, empagliflozin, and ertugliflozin) and less selective SGLT2 inhibitors (canagliflozin and sotagliflozin). RESULTS: A total of fourteen trials with 75,334 patients were analyzed. Among these, 40,956 had taken SGLT2 inhibitors and 34,378 had not. One of the main results with particular findings was empagliflozin users had a significantly lower risk of all-cause death compared to dapagliflozin users in DM population (RR: 0.81, 95% CI 0.69–0.96). In HF population, sotagliflozin users had a borderline significantly lower risk of CV death or hospitalization for HF (HHF) than dapagliflozin users (RR: 0.90, 95% CI 0.80–1.01). In non-HF population, those who used canagliflozin had a significantly lower risk of CV death or HHF compared with those who used dapagliflozin (RR: 0.75, 95% CI 0.58–0.98). At last, for HF patients, those who used less selective SGLT2 inhibitors had a significantly lower risk of MACEs compared to those who used highly selective SGLT2 inhibitors (RR: 0.75, 95% CI 0.62–0.90). CONCLUSIONS: Our network meta-analysis revealed that empagliflozin users with diabetes experienced a lower risk of dying from any cause than those using dapagliflozin. Additionally, canagliflozin users demonstrated a reduced risk of cardiovascular death or HHF compared to dapagliflozin users in those without HF. In HF patients, less selective SGLT2 inhibitors showed superior CV composite outcomes, even surpassing the performance of highly selective SGLT2 inhibitors. Trial registration: PROSPERO [CRD42022361906]. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-02035-8. BioMed Central 2023-10-27 /pmc/articles/PMC10612254/ /pubmed/37891550 http://dx.doi.org/10.1186/s12933-023-02035-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, Jui-Yi Pan, Heng-Chih Shiao, Chih-Chung Chuang, Min-Hsiang See, Chun Yin Yeh, Tzu-Hsuan Yang, Yafei Chu, Wen-Kai Wu, Vin-Cent Impact of SGLT2 inhibitors on patient outcomes: a network meta-analysis |
title | Impact of SGLT2 inhibitors on patient outcomes: a network meta-analysis |
title_full | Impact of SGLT2 inhibitors on patient outcomes: a network meta-analysis |
title_fullStr | Impact of SGLT2 inhibitors on patient outcomes: a network meta-analysis |
title_full_unstemmed | Impact of SGLT2 inhibitors on patient outcomes: a network meta-analysis |
title_short | Impact of SGLT2 inhibitors on patient outcomes: a network meta-analysis |
title_sort | impact of sglt2 inhibitors on patient outcomes: a network meta-analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612254/ https://www.ncbi.nlm.nih.gov/pubmed/37891550 http://dx.doi.org/10.1186/s12933-023-02035-8 |
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